Building governed AI systems for healthcare and enterprise environments.

I currently work as Architect at Oracle Health, focused on agentic data, workflows, governance, privacy, trust, and AI platform strategy. My work centers on the infrastructure required to make AI systems useful in high-stakes environments: orchestration, evaluation, policy enforcement, observability, workflow integration, and human oversight.

At Oracle Health, I work on foundations for agentic healthcare systems, including multi-agent runtime harnesses, human-in-the-loop coordination, extraction services, tool catalogs, API gateways, workflow execution layers, memory-aware workflows, retrieval systems, and control-plane patterns for safe autonomous execution.

Before Oracle, I spent nearly nine years at Amazon and Amazon Web Services across Amazon Bedrock, Rekognition, Textract, CloudFront, Amazon Global Accelerator, and other large-scale distributed systems. My AWS work spanned multimodal AI infrastructure, model serving, unstructured data extraction, inference optimization, data platforms, and cloud edge systems.

My professional focus is practical rather than speculative: AI systems that can be deployed, monitored, governed, audited, and trusted in production. That focus is especially important in healthcare, public-sector, and other regulated environments where reliability, traceability, and clinician or human control are architectural requirements.

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